Image Enhancement under Data-Dependent Multiplicative Gamma Noise
An edge enhancement filter is proposed for denoising and enhancing images corrupted with data-dependent noise which is observed to follow a Gamma distribution. The filter is equipped with three terms designed to perform three different tasks. The first term is an anisotropic diffusion term which is...
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2014/981932 |
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author | Jidesh Pacheeripadikkal Bini Anattu |
author_facet | Jidesh Pacheeripadikkal Bini Anattu |
author_sort | Jidesh Pacheeripadikkal |
collection | DOAJ |
description | An edge enhancement filter is proposed for denoising
and enhancing images corrupted with data-dependent noise which is
observed to follow a Gamma distribution. The filter is equipped with
three terms designed to perform three different tasks. The first term is
an anisotropic diffusion term which is derived from a locally adaptive p-laplacian functional. The second term is an enhancement term or
a shock term which imparts a shock effect at the edge points making
them sharp. The third term is a reactive term which is derived based
on the maximum a posteriori (MAP) estimator and this term helps
the diffusive term to perform a Gamma distributive data-dependent
multiplicative noise removal from images. And moreover, this reactive
term ensures that deviation of the restored image from the original one
is minimum. This proposed filter is compared with the state-of-the-art
restoration models proposed for data-dependent multiplicative noise. |
format | Article |
id | doaj-art-bbb4295720444994a933b79e700fd855 |
institution | Kabale University |
issn | 1687-9724 1687-9732 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Applied Computational Intelligence and Soft Computing |
spelling | doaj-art-bbb4295720444994a933b79e700fd8552025-02-03T05:51:54ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322014-01-01201410.1155/2014/981932981932Image Enhancement under Data-Dependent Multiplicative Gamma NoiseJidesh Pacheeripadikkal0Bini Anattu1Department of Mathematical and Computational Sciences, National Institute of Technology, Karnataka 575025, IndiaDepartment of Electronics and Communications Engineering, National Institute of Technology, Karnataka 575025, IndiaAn edge enhancement filter is proposed for denoising and enhancing images corrupted with data-dependent noise which is observed to follow a Gamma distribution. The filter is equipped with three terms designed to perform three different tasks. The first term is an anisotropic diffusion term which is derived from a locally adaptive p-laplacian functional. The second term is an enhancement term or a shock term which imparts a shock effect at the edge points making them sharp. The third term is a reactive term which is derived based on the maximum a posteriori (MAP) estimator and this term helps the diffusive term to perform a Gamma distributive data-dependent multiplicative noise removal from images. And moreover, this reactive term ensures that deviation of the restored image from the original one is minimum. This proposed filter is compared with the state-of-the-art restoration models proposed for data-dependent multiplicative noise.http://dx.doi.org/10.1155/2014/981932 |
spellingShingle | Jidesh Pacheeripadikkal Bini Anattu Image Enhancement under Data-Dependent Multiplicative Gamma Noise Applied Computational Intelligence and Soft Computing |
title | Image Enhancement under Data-Dependent Multiplicative Gamma Noise |
title_full | Image Enhancement under Data-Dependent Multiplicative Gamma Noise |
title_fullStr | Image Enhancement under Data-Dependent Multiplicative Gamma Noise |
title_full_unstemmed | Image Enhancement under Data-Dependent Multiplicative Gamma Noise |
title_short | Image Enhancement under Data-Dependent Multiplicative Gamma Noise |
title_sort | image enhancement under data dependent multiplicative gamma noise |
url | http://dx.doi.org/10.1155/2014/981932 |
work_keys_str_mv | AT jideshpacheeripadikkal imageenhancementunderdatadependentmultiplicativegammanoise AT binianattu imageenhancementunderdatadependentmultiplicativegammanoise |